A simulation of baseball pitchers and their effectiveness

Document Type

Poster Presentation

Publication Date

4-26-2019

Department

Sport Management

Abstract

A recent trend in Major League Baseball is the change in roles of starting pitchers (e.g., the use of the “opener”). Previous studies have projected overall team wins using simulations, but were unable to simulate pitcher-level results. This study created a model to effectively simulate a baseball game using pitcher-level data, thereby allowing for an exploration of pitching impacts. Additionally, a user interface was developed to facilitate these explorations in a wide variety of scenarios. These results will be valuable to a front office of a Major League team as a way to evaluate their roster.

Comments

Presented at the Eighth Annual Conference of the Upstate Chapters of the American Statistical Association in Rochester, New York, April 26-27, 2019.

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